The Quality of Openstreetmap in Malaysia: A Preliminary Assessment

Husen, Syamsier; Idris, Nurul Hazrina; Ishak, Mohamad Hafis Izran

doi:10.5194/isprs-archives-xlii-4-w9-291-2018

Cited by 11 publications

(6 citation statements)

References 9 publications

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“…Most of the data recorded in Terengganu state are the important buildings and landmarks. These finding is in line with study by [17], which emphasize the completeness issue of OSM data, since it depends on the volunteer OSM contributors, but provide good accuracy for road network with approximately +-0.72 meter of positional accuracy.…”

Section: Results Of Exposure Analysissupporting

confidence: 90%

Dam Break Flood Mapping and Analysis Using Open Source GIS Tool and Data

Samsudin,

Zuhaily,

Setu

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The impact of climate change may influence on extreme weather conditions and may lead to high intensity precipitation, which will impact on huge structures such as dam. Although risk mitigation and protection of dams from advanced technical expertise have been reviewed regularly, a maximum non-risk guarantee is not achievable, and incidents may occur due to water that usually flows over a spillway and high-speed discharge or unexpected peak discharge. Hence, the immediate impact of dam failure is on the population at risk near the downstream area. This study evaluates the impact of dam break scenario under probable maximum precipitation (PMF) condition at Puah hydropower dam. The aims of this study are to determine the potential risk area at downstream and to assess the flooding impact on population and public facilities due to dam break event. Integration of an open source GIS tool, Google Satellite Image, Open Street Map, and flood hazard map derived from hydrodynamic model has been used to efficiently analyse the impact of dam break flood by using spatial analysis method, and to generate possible evacuation route network. Analysis has estimated that 187,796 people at risk, 3,177 km of road, 2-unit hospital and 76 amenities (mosque and school) will be impacted. This study portrays the possibility of using open source data and tool as an alternative for emergency preparedness application. The method used in this study could be adopted to other area of interest and disaster event, helping the local authorities for disaster emergency preparedness and early warning systems focusing on rescue work if disaster occurs.

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Section: Results Of Exposure Analysissupporting

confidence: 90%

Dam Break Flood Mapping and Analysis Using Open Source GIS Tool and Data

Samsudin,

Zuhaily,

Setu

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Thus, analysing building completeness for 11 countries is way out of the scope of this paper. While OSM quality has been studied in some countries in the region (Husen et al, 2018;Aditya et al, 2012), research is either limited or outdated.…”

Section: Discussionmentioning

confidence: 99%

Exploration of Open Data in Southeast Asia to Generate 3d Building Models

Biljecki

2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This article investigates the current status of generating 3D building models across 11 countries in Southeast Asia from publicly available data, primarily volunteered geoinformation (OpenStreetMap). The following countries are analysed: Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, Timor-Leste, and Vietnam. This cross-country study includes multiple spatial levels of analysis: country, town, and micro-level (smaller neighbourhood). The main finding is that authoritative data to generate 3D building models is almost non-existent while building completeness in OpenStreetMap is highly heterogeneous, yielding location-dependent conclusions. While in general just a fraction of mapped buildings has height information and none of the administrative areas provides sufficient information to generate 3D building models, on a micro-level some areas are fully complete, providing a high potential to generate 3D building models on a precinct scale, which may be useful for certain spatial analyses. Furthermore, some areas have high building completeness, requiring only half of the work necessary for the extrusion: the collection of building height attributes. As a part of this work, a semantic 3D building model of a selected set of buildings in Singapore has been generated and released as open data (CityJSON), and the developed code was open-sourced.

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“…With the increased utilization of VGIs-including OSM-for disaster preparedness and response, various methodologies have been proposed to assess the quality and the accuracy of the collected data [12]; for example, in terms of data completeness, logical consistency, positional, thematic, semantic and spatial accuracy, temporal quality and usability [28,[38][39][40][41][42]. Several approaches have been proposed to assess the completeness of the OSM database and the completeness of the street networks [32,43], the land use and the building footprints [44].…”

Section: Assessing Osm Completeness and Accuracymentioning

confidence: 99%

Assessing OpenStreetMap Completeness for Management of Natural Disaster by Means of Remote Sensing: A Case Study of Three Small Island States (Haiti, Dominica and St. Lucia)

2020

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Over the last few decades, many countries, especially islands in the Caribbean, have been challenged by the devastating consequences of natural disasters, which pose a significant threat to human health and safety. Timely information related to the distribution of vulnerable population and critical infrastructure is key for effective disaster relief. OpenStreetMap (OSM) has repeatedly been shown to be highly suitable for disaster mapping and management. However, large portions of the world, including countries exposed to natural disasters, remain incompletely mapped. In this study, we propose a methodology that relies on remotely sensed measurements (e.g., Visible Infrared Imaging Radiometer Suite (VIIRS), Sentinel-2 and Sentinel-1) and derived classification schemes (e.g., forest and built-up land cover) to predict the completeness of OSM building footprints in three small island states (Haiti, Dominica and St. Lucia). We find that the combinatorial effects of these predictors explain up to 94% of the variation of the completeness of OSM building footprints. Our study extends the existing literature by demonstrating how remotely sensed measurements could be leveraged to evaluate the completeness of the OSM database, especially in countries with high risk of natural disasters. Identifying areas that lack coverage of OSM features could help prioritize mapping efforts, especially in areas vulnerable to natural hazards and where current data gaps pose an obstacle to timely and evidence-based disaster risk management.

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The Quality of Openstreetmap in Malaysia: A Preliminary Assessment

Cited by 11 publications

References 9 publications

Dam Break Flood Mapping and Analysis Using Open Source GIS Tool and Data

Dam Break Flood Mapping and Analysis Using Open Source GIS Tool and Data

Exploration of Open Data in Southeast Asia to Generate 3d Building Models

Assessing OpenStreetMap Completeness for Management of Natural Disaster by Means of Remote Sensing: A Case Study of Three Small Island States (Haiti, Dominica and St. Lucia)

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